Flower-Classification

In this project, an image classifier is trained to recognize different species of flowers

Developing an AI application

Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smart phone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software development in the future will be using these types of models as common parts of applications.

Model used

• densenet121

Accuracy of the Model

How to improve results

Even thoght, densenet121 model shows a good performance we can still try to adjust hyperparameters such as learning rate or introduce momentum to the model. One can try to use different normalization parameters such as mean and stdandard devioation. Moreoverm, the classifier architecture can be changed.

Contribute

Want to work on the project? Any kind of contribution is welcome!

Follow these steps:

• Fork the project.

• Create a new branch.

• Make your changes and write tests when practical.

• Commit your changes to the new branch.

• Send a pull request.

• drop a mail to me for database file at debajyotiguha11@gmail.com

Authors

Debjyoti Guha